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NumPy VS Salesforce IoT Cloud

Compare NumPy VS Salesforce IoT Cloud and see what are their differences

NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Salesforce IoT Cloud logo Salesforce IoT Cloud

Modernize your field service management software to deliver better onsite support and keep employees and customers informed every step of the way.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Salesforce IoT Cloud Landing page
    Landing page //
    2023-06-26

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Salesforce IoT Cloud videos

Connected Products and Salesforce IoT Cloud - Transforming Customer Engagements

Category Popularity

0-100% (relative to NumPy and Salesforce IoT Cloud)
Data Science And Machine Learning
Data Dashboard
74 74%
26% 26
Data Science Tools
100 100%
0% 0
IoT Platform
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare NumPy and Salesforce IoT Cloud

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Salesforce IoT Cloud Reviews

Open Source Internet of Things (IoT) Platforms
Salesforce IoT cloud will help you to transform all data which is generated by the customers, partners, devices, and sensors into relevant actions. It has partner connectors like AWS, Cisco Systems, etc.

Social recommendations and mentions

Based on our record, NumPy seems to be more popular. It has been mentiond 111 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

NumPy mentions (111)

  • Documenting my pin collection with Segment Anything: Part 3
    NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / about 13 hours ago
  • Awesome List
    NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 6 days ago
  • NumPy for Beginners: A Basic Guide to Get You Started
    This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 8 days ago
  • 2 Minutes to JupyterLab Notebook on Docker Desktop
    Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 9 months ago
  • Element-wise vs Matrix vs Dot multiplication
    In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication. - Source: dev.to / 3 months ago
View more

Salesforce IoT Cloud mentions (0)

We have not tracked any mentions of Salesforce IoT Cloud yet. Tracking of Salesforce IoT Cloud recommendations started around Mar 2021.

What are some alternatives?

When comparing NumPy and Salesforce IoT Cloud, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

AWS IoT - Easily and securely connect devices to the cloud.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Particle.io - Particle is an IoT platform enabling businesses to build, connect and manage their connected solutions.

OpenCV - OpenCV is the world's biggest computer vision library

AWS IoT Core - Whether building a connected home application for home security or building an industrial application to proactively identify equipment breakdown, you can use AWS IoT Core to securely communicate with and gather data from your diverse fleet of IoT d…